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monitoring and control. The research will design and evaluate hybrid AI + physics-based optimization frameworks that combine the accuracy and interpretability of physics-based optimization with the speed and
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
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